AI Engineer
4 days ago
Job Title:
AI Engineer
Location:
Noida, U.P
Job Type:
Full-time
Experience:
4+ Years
About the Role
We are seeking a highly motivated and curious AI Engineer to join our team and contribute to building cutting-edge AI-driven solutions. In this role, you will work on generative AI models, customize and fine-tune LLMs, develop scalable data pipelines, and help deploy robust, production-ready AI services. This is a hands-on, cross-functional position ideal for engineers passionate about creating impactful AI products.
Key Responsibilities
- Design, develop, and fine-tune
custom LLMs
and
foundation models
for specific business use-cases. - Implement
generative AI applications
using transformer architectures (e.g., GPT, BERT, LLaMA, Mistral). - Create
data pipelines
for model training and inference, including preprocessing, augmentation, and validation steps. - Collaborate with product and design teams to deliver
end-to-end AI-driven solutions
from prototype to production. - Work on
model evaluation
, A/B testing, and continuous improvement based on feedback loops. - Integrate models into scalable backend systems using APIs and containerized services (Docker, Kubernetes).
- Conduct research and stay updated on the latest in AI/ML and generative AI advancements.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.
- Strong understanding of
deep learning
,
transformers
, and
NLP
. - Hands-on experience with
PyTorch
,
TensorFlow
. - Proficiency in
Python
, with experience using libraries such as
Hugging Face Transformers
,
scikit-learn
,
spaCy
, etc. - Familiarity with
LLM fine-tuning
techniques like LoRA, QLoRA, PEFT, and prompt engineering. - Experience with
data engineering
tools and frameworks like
Airflow
,
Pandas
,
Spark
,
Snowflake
or
Databricks - Understanding of
MLOps
practices, including CI/CD, model versioning, and model deployment. - Knowledge of
cloud platforms
(AWS/GCP/Azure) and services like S3, SageMaker, Vertex AI, etc. - Exposure to containerization and orchestration tools (
Docker
,
Kubernetes
). - Familiarity with
REST APIs
,
FastAPI
or
Flask
, and backend integration.
Nice-to-Have
- Experience with
vector databases
(e.g. ChromaDB, FAISS, Pinecone, Weaviate). - Worked on
retrieval-augmented generation (RAG)
pipelines. - Contributions to open-source AI/ML projects or published research papers.
- Experience with monitoring tools like
Prometheus
,
Grafana
, or
MLflow
.
What We Offer
- Opportunity to work on cutting-edge AI products with a passionate and collaborative team.
- Exposure to real-world AI deployment scenarios and the chance to contribute to impactful solutions.
- Competitive compensation and flexible work arrangements.
Join us and be part of shaping the future with AI.
Drop your resume
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